@article {65902,
	title = {Directed Evolution of a Selective and Sensitive Serotonin Sensor via Machine Learning.},
	journal = {Cell},
	volume = {183},
	year = {2020},
	month = {2020 Dec 23},
	pages = {1986-2002.e26},
	abstract = {<p>Serotonin plays a central role in cognition and is the target of most pharmaceuticals for psychiatric disorders. Existing drugs have limited efficacy; creation of improved versions will require better understanding of serotonergic circuitry, which has been hampered by our inability to monitor serotonin release and transport with high spatial and temporal resolution. We developed and applied a binding-pocket redesign strategy, guided by machine learning, to create a high-performance, soluble, fluorescent serotonin sensor (iSeroSnFR), enabling optical detection of millisecond-scale serotonin transients. We demonstrate that iSeroSnFR can be used to detect serotonin release in freely behaving mice during fear conditioning, social interaction, and sleep/wake transitions. We also developed a robust assay of serotonin transporter function and modulation by drugs. We expect that both machine-learning-guided binding-pocket redesign and iSeroSnFR will have broad utility for the development of other sensors and in\&nbsp;vitro and in\&nbsp;vivo serotonin detection, respectively.</p>
},
	issn = {1097-4172},
	doi = {10.1016/j.cell.2020.11.040},
	author = {Unger, Elizabeth K and Keller, Jacob P and Altermatt, Michael and Liang, Ruqiang and Matsui, Aya and Dong, Chunyang and Hon, Olivia J and Yao, Zi and Sun, Junqing and Banala, Samba and Flanigan, Meghan E and Jaffe, David A and Hartanto, Samantha and Carlen, Jane and Mizuno, Grace O and Borden, Phillip M and Shivange, Amol V and Cameron, Lindsay P and Sinning, Steffen and Underhill, Suzanne M and Olson, David E and Amara, Susan G and Temple Lang, Duncan and Rudnick, Gary and Marvin, Jonathan S and Lavis, Luke D and Lester, Henry A and Alvarez, Veronica A and Fisher, Andrew J and Prescher, Jennifer A and Kash, Thomas L and Yarov-Yarovoy, Vladimir and Gradinaru, Viviana and Looger, Loren L and Tian, Lin}
}
@article {48513,
	title = {Unraveling cell-to-cell signaling networks with chemical biology.},
	journal = {Nature Chemical Biology},
	volume = {13},
	year = {2017},
	month = {2017 May 17},
	pages = {564-568},
	issn = {1552-4469},
	doi = {10.1038/nchembio.2391},
	author = {Gartner, Zev J and Prescher, Jennifer A and Lavis, Luke D}
}
